둘러보기 메뉴

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Tabs

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  • https://arxiv.org/abs/1603.06038 tensor methods and recommander systems
  • https://web.stanford.edu/class/math220a/ PDE
    • transport eq. with boundary conditions. https://www.ndsu.edu/pubweb/~novozhil/Teaching/483%20Data/02.pdf
  • 당구공문제
  • modelzoo
  • https://github.com/apache/incubator-mxnet/blob/master/example/recommenders/demo1-MF.ipynb
  • http://www.cs.toronto.edu/~rgrosse/courses/csc321_2017/readings/L15%20Exploding%20and%20Vanishing%20Gradients.pdf
  • residual 50
    • https://github.com/KaimingHe/deep-residual-networks
  • deep learning based image retrieval
  • http://psiexp.ss.uci.edu/research/papers/SteyversGriffithsLSABookFormatted.pdf probablistic topic models (pdf, 13p)
  • Latent Dirichlet Allocation: Towards a Deeper Understanding by Colorado Reed pdf
  • https://stats.stackexchange.com/questions/145768/importance-of-local-response-normalization-in-cnn
  • going deeper with convolutions
  • mxnet's inception-bn

——

  • Chapter 7 The Simple Recurrent Network: A Simple Model that Captures the Structure in Sequences
  • Farey sequence
  • Eulid’s lemma
  • Euler’s totient calculator. up to 20 digits!
  • Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering
  • Tensor Methods and Recommender Systems
  • Lenstra elliptic-curve factorization
  • A Path Less Taken to the Peak of the Math World
  • Directional derivative and gradient examples
  • mask textspotter
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